Towards AI

NOVEMBER 1, 2023

Last Updated on November 2, 2023 by Editorial Team Author(s): Ryan Ueda Teo Originally published on Towards AI. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. Published via Towards AI From research to projects and ideas.

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EDA Machine Learning Machine Learning Data Scientist 111

Flipboard

NOVEMBER 27, 2023

Artificial intelligence has been steadily infused into various parts of the Synopsys EDA tool suite for the last few years. What started in 2021 with DSO.ai, a tool created to accelerate, enhance and reduce the costs associated with the place-and-route stage of semiconductor design (sometimes …

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Hacker News

MARCH 7, 2024

Data and protocol interoperability standards are needed for EDA tools, and there are more hurdles ahead. Customized chiplets will be required for AI applications.

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Flipboard

APRIL 4, 2023

The crux of the clash was whether Google’s AI solution to one of chip design’s thornier problems was really better than humans or state-of-the-art algorithms. It pitted established male EDA experts against two young female Google computer scientists, and the underlying argument had already led to the firing of one Google researcher.

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Pickl AI

DECEMBER 10, 2023

Discover the power of Python libraries for (partial) automation of Exploratory Data Analysis (EDA). Powerful Python Libraries to (Partially) Automate EDA Exploratory data analysis (EDA) stands as a cornerstone of the data science domain. What are auto EDA libraires?

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EDA Exploratory Data Analysis Python Data Analysis 52

IBM Journey to AI blog

JANUARY 8, 2024

Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA. As a result, organizations that become more event-driven are able to better differentiate themselves from competitors and ultimately impact their top and bottom lines.

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IBM Journey to AI blog

NOVEMBER 10, 2023

As semiconductor manufacturers strive to keep up with customer expectations, electronic design automation (EDA) tools are the keys to unlocking the solution. However, to truly drive innovation at scale, EDA leaders need massive computing power. Cadence leverages IBM Cloud HPC Cadence is a global leader in EDA.

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Towards AI

APRIL 7, 2024

Author(s): Juliusnyambok Originally published on Towards AI. This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. One important stage of any data analysis/science project is EDA.

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Machine Learning Machine Learning Exploratory Data Analysis EDA 124

Hacker News

APRIL 16, 2025

Our simulation framework uses industry-standard and open-source electronic design automation (EDA) tools, augmented with our in-house tool set, to rapidly explore the interaction between semiconductor technology and the systems built with it. My research colleagues and I at Imec have developed just that.

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Towards AI

MARCH 22, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Spam Classifier Development – EDA and Model Development – Model Development and Experiment Tracking with MLFlow3. Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Machine Learning Machine Learning EDA Data Science 115

AWS Machine Learning Blog

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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AI AI AWS EDA 140

IBM Journey to AI blog

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. While most enterprises have already recognized how Apache Kafka provides a strong foundation for EDA, they often fall behind in unlocking its true potential.

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Apache Kafka EDA SQL Database 100

Towards AI

NOVEMBER 8, 2023

Last Updated on November 9, 2023 by Editorial Team Author(s): Kelvin Lu Originally published on Towards AI. Let’s skip over the EDA. While there are over 100 publicly available notebooks on Kaggle for this dataset, and even more available elsewhere, I found that most of these solutions were poorly implemented.

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Towards AI

NOVEMBER 23, 2023

Last Updated on November 24, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What a weekend and week in AI… You missed out if you haven’t followed the OpenAI drama over the past few days. Learn AI Together Community section! AI poll of the week!

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AI AI EDA Artificial Intelligence 105

Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Jason Leung on Unsplash AI is still considered a relatively new field, so there are really no guides or standards such as SWEBOK. 85% or more of AI projects fail [1][2]. 85% or more of AI projects fail [1][2].

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IBM Journey to AI blog

APRIL 5, 2024

Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. We believe that the convergence of both HPC and artificial intelligence (AI) is key for enterprises to remain competitive.

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Smart Data Collective

MARCH 9, 2021

It’s able to support significantly larger datasets than traditional spreadsheets, allows you to do machine learning and AI analytics, and provides infinite opportunities for customization. Mito was specifically designed with all three of our EDA desires in mind! Python is the go to language for modern data analytics.

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IBM Journey to AI blog

JUNE 4, 2024

This can be especially helpful amid a steadily growing push to build AI on a larger and larger scale. Cadence uses IBM Cloud HPC Cadence is a global innovator in electronic design automation (EDA) with over 30 years of computational software experience.

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Towards AI

JANUARY 27, 2023

Last Updated on January 27, 2023 by Editorial Team Last Updated on January 27, 2023 by Editorial Team Author(s): Puneet Jindal Originally published on Towards AI. Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business.

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Exploratory Data Analysis Data Analysis Data Analysis EDA 94

Towards AI

APRIL 7, 2024

Last Updated on April 7, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. Photo by Lala Azizli on Unsplash Hey there, fellow learners! U+1F44B Welcome to another exciting journey in the realm of machine learning. Deploying machine learning models.

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AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. To facilitate this, an automated data engineering pipeline is built using AWS Step Functions.

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Data Science Dojo

AUGUST 28, 2023

As LLMs redefine AI capabilities, mastering LLMOps becomes your compass in this dynamic landscape. Exploratory Data Analysis (EDA) Data collection: The first step in LLMOps is to collect the data that will be used to train the LLM. From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation.

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Towards AI

OCTOBER 8, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Lorenzo Pastore Originally published on Towards AI. EDA This member-only story is on us. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. Published via Towards AI

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Data Science Dojo

MARCH 27, 2025

It powers business decisions, drives AI models, and keeps databases running efficiently. Another interesting read: Master EDA Importance of Data Normalization So, we defined data normalization, and hopefully, youve got the idea. Think about itdata is everywhere. But heres the problem: raw data is often messy.

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Database Data Warehouse Machine Learning Machine Learning 195

Towards AI

JUNE 25, 2024

Last Updated on June 25, 2024 by Editorial Team Author(s): Mena Wang, PhD Originally published on Towards AI. This is the first one, where we look at some functions for data quality checks, which are the initial steps I take in EDA. Let’s get started. 🤠 🔗 All code and config are available on GitHub.

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ML ML EDA Data Wrangling 75

Hacker News

SEPTEMBER 15, 2024

Big-name makers of processors, especially those geared toward cloud-based AI , such as AMD and Nvidia, have been showing signs of wanting to own more of the business of computing, purchasing makers of software, interconnects, and servers. And the second thing is, I realized that machine learning, AI in general, is going to be very, very big.

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ODSC - Open Data Science

FEBRUARY 24, 2023

ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. This data-centric AI package facilitates machine learning with messy, real-world data by providing clean labels for robust training and flagging errors in your data.

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Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

IBM Data Science in Practice

DECEMBER 21, 2023

Data Processing and EDA (Exploratory Data Analysis) Speech synthesis services require that the data be in a JSON format. Embeddable AI You can start your AI journey by browsing & building AI models through a guided wizard here. The IBM Build Lab team is here to work with you on your AI journey.

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Pickl AI

JUNE 11, 2024

Summary: Exploratory Data Analysis (EDA) uses visualizations to uncover patterns and trends in your data. This is where Exploratory Data Analysis (EDA) steps in, armed with the power of visualization to unlock the secrets hidden within your data. EDA starts working on this data.

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Exploratory Data Analysis Data Analysis Data Analysis EDA 52

AWS Machine Learning Blog

AUGUST 3, 2023

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. Generative AI is driven by large ML models called foundation models (FMs).

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IBM Journey to AI blog

NOVEMBER 6, 2023

Serverless supports compute intensive workloads Enterprises today are rapidly adopting more compute intensive technology, such as High-Performance Computing (HPC) and AI. AI workloads need to come to the market quickly because of tremendous competitive pressures. Serverless does all that for them.

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IBM Journey to AI blog

JULY 27, 2023

Now more than ever, we are also seeing financial institutions increasingly leverage HPC for capabilities like Monte Carlo simulations on market movements, including to power artificial intelligence (AI) and machine learning solutions that can be used to help enterprises make more informed decisions.

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Analytics Vidhya

APRIL 3, 2023

Introduction Tired of sifting through mountains of analyzing data without any real insights? ChatGPT is here to change the game. With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible.

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Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Human resources face many challenges, and AI can help automate and solve some of these challenges. AI can help Human Resources with several tasks.

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Machine Learning Machine Learning Python Exploratory Data Analysis 96

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. “Shut up and annotate!”

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Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. By automating complex forecasting processes, AI significantly improves accuracy and efficiency in various applications. billion by 2030. What is Time Series Forecasting?

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AI AI Machine Learning Machine Learning 52

Towards AI

FEBRUARY 3, 2024

Last Updated on February 3, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. This process is called Exploratory Data Analysis(EDA). Learning is intrinsic to human nature, and innovating machines to learn is a testament to human ingenuity.”

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Machine Learning Machine Learning Exploratory Data Analysis Data Scientist 122